Open Science Research Excellence
%0 Journal Article
%A Adama Sow and  Abdoulaye Guiss´e and  Oumar Niang
%D 2018 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 138, 2018
%T Proposition of an Ontology of Diseases and Their Signs from Medical Ontologies Integration
%V 138
%X To assist medical diagnosis, we propose a federation
of several existing and open medical ontologies and terminologies.
The goal is to merge the strengths of all these resources to provide
clinicians the access to a variety of shared knowledges that can
facilitate identification and association of human diseases and all of
their available characteristic signs such as symptoms and clinical
signs. This work results to an integration model loaded from target
known ontologies of the bioportal platform such as DOID, MESH,
and SNOMED for diseases selection, SYMP, and CSSO for all
existing signs.
%P 395 - 400